Varaksin A., Shalaumova J., Panov V. Control principles of confounders in ecological comparative studies: standardization and regressive modelss // Principy èkologii. 2014. № 1. P. 4‒14. DOI: 10.15393/j1.art.2014.3341


Issue № 1

Analytical review

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Control principles of confounders in ecological comparative studies: standardization and regressive modelss

Varaksin
   Anatoly 		Dr.Sc., Institute of Industrial Ecology, S.Kovalevskaya St, 20-A, Ekaterinburg, varaksin@ecko.uran.ru
Shalaumova
   Julia 		Ph. D., Institute of Industrial Ecology, S.Kovalevskaya St, 20-A, Ekaterinburg, yulyash@gmail.com
Panov
   Vladimir 		Ph.D., Institute of Industrial Ecology, S.Kovalevskaya St, 20-A, Ekaterinburg, vpanov@ecko.uran.ru
Keywords:
confounding variables
accounting confounders
standardization
risk factor
analysis of observational data
regression models		 Summary: The methods of the analysis of research data including the concomitant variables (confounders) associated with both the response and the current factor are considered. There are two usual ways to take into account such variables: the first, at the stage of planning the experiment and the second, in analyzing the received data. Despite the equal effectiveness of these approaches, there exists strong reason to restrict the usage of regression method to accounting for confounders by ANCOVA. Authors consider the standardization by stratification as a reliable method to account for the effect of confounding factors as opposed to the widely-implemented application of logistic regression and the covariance analysis. The program for the automation of standardization procedure is proposed, it is available at the site of the Institute of Industrial Ecology.

© Petrozavodsk State University
Reviewer: V. A. Ilyukha
Received on: 21 April 2014
Published on: 17 December 2014

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